ZipRecruiter

Log In

1

Urgently Hiring Cuda Developer Jobs (NOW HIRING)

previous page

Showing results 41-60

All JobsUrgently Hiring Cuda Developer Jobs

Urgently Hiring Cuda Developer information

See salary details

$17

$52

$81

How much do urgently hiring cuda developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for urgently hiring cuda developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What cities are hiring for Urgently Hiring Cuda Developer jobs?

Cities with the most Urgently Hiring Cuda Developer job openings:

What are the most commonly searched types of Cuda Developer jobs?

The most popular types of Cuda Developer jobs are:

What states have the most Urgently Hiring Cuda Developer jobs?

States with the most job openings for Urgently Hiring Cuda Developer jobs include:

Urgently Hiring Cuda Developer jobs near you

Senior Software Engineer, CUDA C++ Core Libraries

Nvidia

Remote

Full-time

Re-posted 2 hours ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA's accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that provide the algorithms, abstractions, and runtime capabilities needed to build fast, reliable, and scalable GPU-accelerated software.

We are hiring a Senior Software Engineer to advance the C++ foundation of CUDA Core Libraries. You will design and optimize high-performance algorithms and APIs for C++ developers. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike.

What you'll be doing:

  • Design and implement foundational CUDA C++ libraries, parallel algorithms, utilities, and runtime abstractions.

  • Compose and optimize GPU algorithms from high-level generic interfaces through low-level implementation.

  • Design stable interoperability boundaries that allow core C/C++ functionality to be consumed efficiently from Python and Rust.

  • Balance performance, compile time, portability, compatibility, usability, and long-term API evolution.

  • Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and maintenance.

  • Improve developer productivity through diagnostics, examples, build integration, tests, benchmarks, and continuous integration.

  • Collaborate with Python, Rust, compiler, and runtime engineers during architecture, design, and code reviews.

  • Engage with users on performance investigations, API feedback, and correctness issues.

What we need to see:

  • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience and 8+ years of relevant software-development experience.

  • Strong production programming skills in C and C++, with deep knowledge of modern C++.

  • Experience with generic programming, templates, type systems, and standard-library design principles.

  • Proven experience developing systems-level software with demanding performance, concurrency, and compatibility requirements.

  • Practical experience with CUDA or another parallel or heterogeneous programming environment.

  • Experience developing production software or foundational libraries, including testing, profiling, benchmarking, and code review.

  • Understanding of API and ABI compatibility and the challenges of exposing C/C++ functionality to other languages.

  • Ability to work independently, define project scope, and drive complex work to completion.

  • Clear written communication skills for architecture documents, API specifications, and developer documentation.

  • Comfort working in large C/C++ codebases with build systems, toolchains, and continuous-integration infrastructure.

Ways to stand out from the crowd:

  • Strong understanding of CPU/GPU architecture and performance optimization, with hands-on experience in GPU-accelerated stacks (CUDA C++/Python, PyTorch, JAX, Numba, CuPy, or similar).

  • Proficiency with modern C++ and GPU libraries such as Thrust, CUB, and libcudacxx.

  • Experience with compiler infrastructure and tooling, including LLVM, Clang, or MLIR.

  • Knowledge of binary interfaces, linking, versioning, cross-platform distribution, and interoperability across Python, Rust, and C/C++ stacks.

  • Demonstrated interest in developer tools, library design, and improving developer productivity.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply